Research associate jobs in Revere, MA - 1,238 jobs

A leading healthcare technology firm in Boston seeks an Associate Principal Scientist to advance drug R&D through computational research. The ideal candidate will leverage the Tempus platform to analyze diverse datasets, ensuring actionable insights for clients. This role requires a Masters or Ph.D. in areas like Bioinformatics or Data Science, proficiency in R or Python, and comfort in client interactions. A competitive salary range of $170,000-$230,000 reflects the expertise required for this role, alongside comprehensive benefits. #J-18808-Ljbffr

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied ResearcherCambridge, MA: $300,200 - $342,600 for Distinguished Applied ResearcherMcLean, VA: $300,200 - $342,600 for Distinguished Applied ResearcherNew York, NY: $327,600 - $373,800 for Distinguished Applied ResearcherSan Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Pryzm Pryzm is a startup revolutionizing government contracting, reshaping the way that companies and governments work together. Founded by alumni of top Defense and Artificial Intelligence firms (including Palantir and Lockheed Martin), backed by preeminent investors, and deployed with leading defense companies, join us in our mission to enable our government with the best technology and services possible! Who we are looking for: You are a self-starter, ready and able to get things done, and relentless in your pursuit of the mission - nothing will stop you. Intelligent, curious, technically strong, collaborative, and driven. Comfortable operating in ambiguous environments. A maniacal sense of urgency is your operating principle. What you'll do: We are hiring a Markets Lead to perform quality analysis and strategy on government contracting data, review and improve data quality, and create research reports / deliverables for customers using that data. Through this process, you'll work closely with our product team, iterating closely to improve our user interface and data architecture. Qualifications: Must be a U.S. Person due to data access requirements. Preference if you already have some familiarity with government contracting data, including USA Spending awards, J-Books / budget docs, DoD organizational structure, etc. Veterans strongly encouraged to apply. Willingness to hustle, work hard, and make a dent in the universe. Benefits: Pryzm also offers top-tier benefits for full-time employees, including: Platinum Healthcare: we offer elite medical, dental, and vision coverage that are 100% covered by Pryzm for you and your dependents. Basic Life/AD&D and long-term disability insurance is also 100% covered by Pryzm, with the option to purchase additional life insurance for you and your dependents. Relocation assistance available. #J-18808-Ljbffr

Pryzm is a startup revolutionizing government contracting, reshaping the way that companies and governments work together. Founded by alumni of top Defense and Artificial Intelligence firms (including Palantir and Lockheed Martin), backed by preeminent investors, and deployed with leading defense companies, join us in our mission to enable our government with the best technology and services possible! Who we are looking for: You are a self-starter, ready and able to get things done, and relentless in your pursuit of the mission - nothing will stop you. Intelligent, curious, technically strong, collaborative, and driven. Comfortable operating in ambiguous environments. A maniacal sense of urgency is your operating principle. What you'll do: We are hiring a Markets Lead to perform quality analysis and strategy on government contracting data, review and improve data quality, and create research reports / deliverables for customers using that data. Through this process, you'll work closely with our product team, iterating closely to improve our user interface and data architecture. Qualifications: Must be a U.S. Person due to data access requirements. Preference if you already have some familiarity with government contracting data, including USA Spending awards, J-Books / budget docs, DoD organizational structure, etc. Veterans strongly encouraged to apply. Willingness to hustle, work hard, and make a dent in the universe. Benefits: Pryzm also offers top-tier benefits for full-time employees, including: Platinum Healthcare: we offer elite medical, dental, and vision coverage that are 100% covered by Pryzm for you and your dependents. Basic Life/AD&D and long-term disability insurance is also 100% covered by Pryzm, with the option to purchase additional life insurance for you and your dependents. Relocation assistance available. #J-18808-Ljbffr

Immediate need for a talented Research Associate I. This is a 06+ Months Contract opportunity with long-term potential and is located in Framingham, MA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:26-01448 Pay Range: $34 - $44/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Require to be on site daily; Weekend work required occasionally. Plan and execute experiments to optimize upstream cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) Perform upstream experiments and collaborate with other functional groups to speed Phase I pipeline projects Contribute to technical reports, experimental protocols, and technical summaries for presentation internally and externally Participate in the technology transfer of processes into manufacturing facilities Ensure safety and environmental compliance are maintained in the workplace Some weekend working may be required for this role. Key Requirements and Technology Experience: Must have skills: - Understanding of aseptic technique and principles of mammalian cell culture, Cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) Bachelor or Master's degree in Chemical Engineering, Biochemical Engineering, Cell Biology, Biochemistry or a related discipline Post-education experience ?=3 years Understanding of aseptic technique and principles of mammalian cell culture Detailed in lab operations and quick learner for new technologies. Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors Knowledge of CMC Note- Weekend works is required and is occasionally. This is a rotating, schedule 1-4 hours on 1 weekend day and will include a Saturday or Sunday. This will be included in 40 work week and no to exceed 40 hours. Weekend work is pre-planned through end of year; new hire can swap with colleagues if available. Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

A global biopharmaceutical company in Boston seeks a Global Therapeutic Research Lead to manage critical drug discovery projects within gastroenterology and inflammation. You'll leverage extensive experience in drug discovery to lead project strategies, provide mentorship to teams, and drive innovations. Candidates must have a PhD and at least 15 years of industry experience. The role is hybrid with competitive compensation and comprehensive benefits. #J-18808-Ljbffr

A leading research university in Boston is seeking a Director of Prospect Research to manage prospect identification and research teams. The role requires a minimum of 7 years in prospect research and 3 years in management. Strong interpersonal and critical thinking skills are essential. This position provides a competitive salary range from $86,490 to $122,163.75 and includes comprehensive benefits. #J-18808-Ljbffr

A leading cancer research institute in Boston is looking for a Principal Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves working on short-term and long-term projects that revolutionize cancer research using AI and machine learning. Candidates should possess a Master's degree, have 8+ years of experience in AI/ML, and be proficient in Python. The position offers a competitive salary range of $154,000 to $184,500 and invites applicants committed to innovative cancer care. #J-18808-Ljbffr

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis - to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA. We are seeking Research Interns to contribute to our R&D efforts in Artificial Intelligence, Medical Imaging, and Computer Vision. As a part of our team, you will collaborate with senior experts, tackle challenging technical problems, and gain valuable experience developing AI solutions for healthcare. Exceptional work during the internship may lead to contributions to practical product solutions or publications in top-tier journals and conferences. Responsibilities: Conduct cutting-edge research on AI and Deep Learning algorithms to address challenges in medical imaging. Explore and develop medical image foundation models, multi-modality models, and generative AI techniques. Collaborate with senior team members to implement and refine advanced algorithms for medical imaging analysis and computer vision. Translate research findings into practical applications for real-world healthcare challenges. Contribute to team-oriented projects in a collaborative and innovative research environment. Stay updated on emerging trends and technologies in AI and medical imaging to drive impactful advancements. Qualifications: Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related field. A proven track record of publications in relevant fields (e.g., Machine Learning, AI, Computer Vision, Medical Imaging) is a plus. Knowledge of state-of-the-art AI methods including deep learning, generative AI, foundation models and multi-modality models. Familiarity with medical imaging analysis or computer vision. Proficiency in Python and C/C++. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Strong problem-solving abilities, critical thinking, and self-motivation. Effective communication skills and a collaborative mindset.

+++ SiPhox Health is redefining clinical immunoassay diagnostics by miniaturizing the analytical power of a central lab into an accessible, affordable, at-home platform. Our silicon-photonics architecture unites advanced biochemistry, microfluidics, and semiconductor-grade manufacturing to deliver precise, multiplexed biomarker quantification in minutes on a device the size of a coffee maker. We are building what we believe will become the first mass-market photonic blood analyzer, enabling continuous improvement in chronic disease management through frequent, high-quality testing. +++ The Opportunity +++ We are looking for a Senior Assay Development Scientist or Engineer who wants to build assays that have never been built on this kind of platform before. If you thrive on developing rigorous, quantitative immunoassays, including challenging free/competitive assays, and want your work to directly ship in a consumer device used by millions, this is one of the rarest opportunities in diagnostics today. This role sits at the center of platform innovation, contributing directly to analytical chemistry, surface chemistry, microfluidics, and silicon photonics integration. You will shape a growing assay menu that spans hormones, inflammatory markers, metabolic proteins, and future pediatric/specialty panels. +++ What You'll Do +++ Core Assay Development Develop quantitative sandwich and competitive immunoassays (including free hormone assays, displacement-driven formats, and low-abundance biomarkers) on a silicon-photonic resonance platform. Design, execute, and interpret experiments focused on: Binding kinetics & equilibrium optimization Surface functionalization strategies Competitive assay dynamic-range shaping Calibrator and control development (matrix selection, commutability) Assay precision, stability, robustness Analytical Performance & Validation Own assay verification and validation aligned with CLSI standards (EP05, EP06, EP07, EP09, EP10, EP17). Establish and demonstrate performance for: Analytical sensitivity & functional limit (LoB/LoD/LoQ) Linearity & reportable range (including hook effects, competitive assay inflection characterization) Repeatability, reproducibility, and nested CV analysis Interference and cross-reactivity studies Matrix equivalency & recovery studies Build calibration models for a novel platform (e.g., 4PL/5PL, competitive curve inversion, chip-specific normalization frameworks). Cross-Functional Integration Collaborate deeply with photonics, microfluidics, reader electronics, manufacturing, and product engineering teams to close the loop on real-world assay performance. Work with process development and chemistry groups to scale assays from prototype to production, enabling high-volume, chip-based manufacturing. Documentation & Execution Deliver high-clarity technical reports, protocols, V&V documentation, and design-history file content that meets IVD and FDA expectations. Present results across the company to inform design decisions and product milestones. +++ What We're Looking For +++ Technical Background PhD + 2 years, or MS + 6 years in biochemistry, chemical engineering, analytical chemistry, biophysics, bioengineering, or related fields. Expertise in immunoassay development (sandwich and competitive). Experience with free hormone assays is a major plus. Demonstrated ability to independently solve complex analytical and biochemical problems. Hands-on experience with complex analytical workflows, assay automation, and instrumentation. Strong understanding of calibration design, commutability, and control strategies. Familiarity with statistical analysis of assay performance, including mixed-model ANOVA, CV decomposition, and method-comparison frameworks. Regulatory & Platform Experience (Bonus) Experience with IVD development, ISO 13485, or 21 CFR 820. Experience with POC or novel-platform assay development. Knowledge of label-free sensors, waveguides, or photonic resonance systems. Experience with Python, R, or MATLAB for data analysis, curve fitting, and automation. Personal Traits Strong scientific intuition paired with rigorous data discipline. Thrives in a fast-paced, milestone-driven startup environment. Creative problem solver willing to challenge established assay paradigms. High integrity, willingness to own outcomes, and a collaborative mindset. +++ Why This Role Is Unique +++ Most assay developers spend their careers optimizing assays on platforms that already exist. At SiPhox, you will: Build the first generation of photonic immunoassays deployed in consumer health. Design assays whose constraints are shaped by semiconductor physics as much as biochemistry. Work on hard problems (free hormone assays, multiplexing, competitive equilibrium, small-volume matrices) where innovation, not incrementalism, wins. See your work ship in a product used at home by real people, not just research labs. If you want to work at the frontier of diagnostics (where photonics, biochemistry, and consumer health converge) we'd love to meet you.

A leading cancer research institute in Chelsea is seeking a Scientific Officer or Higher Scientific Officer to conduct in vivo experiments aimed at optimizing vaccination approaches for treating cancers with homologous recombination defects. The ideal candidate will hold a current Home Office License, possess expertise in in vivo assays, and contribute to cutting-edge cancer research. This role offers a competitive salary, a supportive research environment, and opportunities for professional development. #J-18808-Ljbffr

A leading biotechnology company is seeking an Associate Director, Global Pain Market Research to join its Boston team. In this role, you will oversee commercial insights supporting the Global Commercial Strategy for pain management. Key responsibilities include designing primary market research and developing the annual situation analysis. Candidates should have a Bachelor's degree and 8+ years of relevant experience in market research and bio-pharma marketing. Flexible work options are available. #J-18808-Ljbffr

DELIVER CASH DAILY - DRIVE WITH DOMINO'S! Full-Time or Part-Time · Flexible Hours · Fast Cash Earn up to $25+/hour (Base Pay + Mileage + Tips = Big Money in Your Pocket!) We're Hiring Drivers NOW Domino's is growing fast-and so are the opportunities. Whether you're looking for extra income, a stepping stone to management, or a long-term career, the road starts here. No experience? No problem. You'll learn customer service, teamwork, food prep, and more-all while getting paid and having fun. Why Drive with Us? Daily cash tips & mileage reimbursement Tons of deliveries-stay busy, earn more Clear path to advancement ️ Medical & Dental insurance available Flexible schedules that work around your life Qualifications What You Need: Be 18+ years old with a valid driver's license A reliable, insured vehicle that passes regular safety checks A clean driving record A positive attitude and solid basic math skills A team player who thrives in a fast-paced environment Drive Toward Your Future Most of our managers-and even franchise owners-started as delivery drivers. Take the wheel on a role that opens doors, pays daily, and puts your career in motion. Additional Information Apply today. Start delivering success tomorrow. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position. Pizza Tigers LLC may modify the duties and responsibilities of the position in its sole discretion at any time without notice.

Responsibilities: * Conducting proprietary research evaluating biotech companies' therapeutic pipeline by analyzing scientific literature, attending medical conferences, and consulting industry experts * Writing research reports for initiations of coverage, analysis of data, deep dive in disease/ technology/ IP/ regulation/ policy, and industry/ company news * Building and maintaining financial models * Conceiving and executing on differentiated project ideas * Interfacing with company management teams, internal sales and trading personnel, and institutional investors * Candidate should understand that the team is highly motivated to become top-ranked in the biotech equity research Qualifications: * ~1+ years of biopharmaceutical investment research, consulting, or industry; prior experience in biopharmaceuticals equity research with full license is a plus * Motivated to rise in the sell-side industry in the long-term * Advanced degree (PhD/MD/ PharmD) in life sciences preferred, though not required; a strong academic track record is essential * Proficiency in written/verbal communication * Experience building financial models using excel a required on-the-job skill; prior experience is a plus * Motivated, hard-working, attention to detail, team player * Can type >120 words per minute Primary Location Full Time Salary Range of $100,000 - $120,000.

Full-Time Core Faculty Position, Clinical Psychology Department (Statistics & Research) William James College announces an opening for a full-time Core Faculty position in the Doctoral Clinical Psychology Department beginning on August 4, 2026 . Rank and salary are commensurate with experience and the benefits are highly competitive. The minimum starting salary for this academic position is $90,000 and is consistent with the department's salary equity considerations for incoming faculty. William James College is dedicated to preparing professionals who serve individuals, families, and communities through rigorous education, applied training, and public service. The College values collaboration, respect, and inclusive excellence across its academic, clinical, and community settings. Responsibilities : Core faculty members are involved in teaching, advising, and research supervision, as well as contributing through committee work and scholarly productivity. We are seeking applicants with demonstrated competence and enthusiasm for teaching Statistics and Research Methods at the doctoral level. Expertise in areas such as research design, quantitative and/or qualitative analysis, and applied data interpretation in clinical psychology is highly desirable.We are especially interested in candidates with a strong appreciation for and commitment to WJC's core values of experiential education, social responsibility, and personal growth.The successful candidate will teach courses such as Statistics and Research Methods and will also supervise student research and dissertations aligned with their area of expertise. In addition to the above criteria, candidates qualified to teach one or more of the following courses are preferred: Leadership and Management of Systems. This course prepares students to lead and function well within the policies and systems that determine the professional roles and effectiveness of clinical psychologists. Program Development and Evaluation. This course trains students to design and develop, manage, and objectively evaluate clinical treatment and other psychologically-informed programs. Advanced Clinical Practice. This course guides students in developing advanced skills in conceptualizing cases and creating treatment plans for children, adolescents, and adults. The successful candidate may also teach generalist foundational courses in the Clinical Psy.D. program. Qualifications : Applicants must possess a PsyD or PhD in Clinical Psychology or Counseling Psychology, have completed an APA-accredited internship, have teaching experience, preferably be licensed or license-eligible in Massachusetts, and maintain some involvement in clinical practice or consultation. A demonstrated record of scholarly work defined broadly (e.g., community engagement, educational leadership, innovation, investigation, and research) is preferred. . Successful applicants will have a demonstrated commitment to fostering an inclusive, respectful, and equitable educational and workplace environment, and must be willing to contribute to the core values of the college. Candidates must be available to teach in-person classes and participate in on-campus activities. The department welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons, or who have achieved excellence in careers outside of academia. Applicants MUST be eligible employment in the United States without College requiring work visa sponsorship. Total Rewards: We are excited to offer an exceptional compensation and benefits package that prioritizes your well-being! Enjoy comprehensive health, vision, and dental insurance, along with flexible spending accounts. Benefit from company-paid life insurance, long-term disability coverage, and the chance to contribute to your retirement. Explore the professional development opportunities that support your growth. Join us and experience a rewarding workplace that strongly invests in your future! William James College is not-for-profit organization under Section 501(c)(3) of the Internal Revenue Code. Employment at William James College may qualify for The Public Service Loan Forgiveness (PSLF) program. studentaid.gov/manage-loans/forgiveness-cancellation/public-service#qualifying-employer Application Procedure: Review of applications occurs on a rolling basis and will continue until the position is filled. Interested applicants should submit: A detailed letter of intent responding to the stated qualifications. A curriculum vitae. A list of three professional references with complete contact information. (References will not be contacted without the applicant's prior permission.) William James College is an institution and community dedicated to the principles of excellence, fairness, and respect for all individuals. We are committed to strengthening our communities, including our workplace, by fostering the development of competencies essential for change agents in an increasingly complex society.

This is an opportunity to join Ordovas-Montanes Lab, which specializes in understanding how inflammation drives memory formation in barrier tissues with the goal of developing new therapeutic avenues for human disease. This candidate will contribute to a collaborative project focused on mucosal immunity to respiratory infection and vaccination. The candidate will work under the direct supervision of Dr. Jose Ordovas-Montanes and be closely integrated within a community of senior scientists, graduate students, and postdoctoral fellows. This position requires substantial technical expertise, the ability to troubleshoot specialized assays, and the capacity to support and train junior lab members as needed. This role offers the opportunity to develop a wide range of experimental and computational skills while working in an interdisciplinary environment with access to resources across Boston Children's Hospital and Harvard Medical School. The ideal candidate is motivated to understand the biological principles underlying infection-induced inflammatory diseases and may be interested in pursuing future postgraduate education. Key Responsibilities: * Independently perform complex experimental workflows, help optimize protocols, and generate high-quality data for single-cell genomics and airway epithelial biology studies. * Troubleshoot specialized assays. * Support and train junior lab members as needed. * Performs routine and highly specialized lab experiments using sophisticated and intricate research equipment and techniques. Performs and devises specialized experiments and research procedures, troubleshooting problems with own and other researchers' results. * Assists other lab personnel with the use of specialized equipment and techniques within the lab. Minimum Qualifications Education: * Bachelor's degree in biology, immunology, genomics, chemistry, or a related field is required. Master's degree preferred but not required. Experience: * Bachelor's and 4 years of relevant experience OR a Master's of Science and 2 years of relevant experience. * Demonstrated experience performing mammalian cell culture, ideally primary airway epithelial culture or similar complex systems. * Proficiency in molecular biology techniques. * Proven ability to independently execute and troubleshoot complex laboratory workflows. * Experience with single-cell RNA-sequencing methods and data analysis in R and/or python is preferred but not required. The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher IIMcLean, VA: $257,300 - $293,700 for Applied Researcher IINew York, NY: $280,700 - $320,400 for Applied Researcher IISan Francisco, CA: $280,700 - $320,400 for Applied Researcher IISan Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A cancer research organization in Boston seeks a Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I. This role involves collaborating with physician scientists and leading research efforts. The ideal candidate has a Master's degree, 8+ years of experience in AI/ML, and strong Python skills. The position requires problem-solving abilities, team collaboration, and experience in clinical or research environments. A commitment to diversity and inclusion is essential for this role. #J-18808-Ljbffr

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis - to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA. We have immediate openings for LLM Research Interns with the following qualification requirements: [ Responsibilities ] Research and develop automated evaluation pipelines for Large Language Models (LLMs) in the medical domain, integrating clinical logic and bioinformatic standards; Implement and optimize evaluation frameworks using LLM/Agent-as-a-judge techniques and reward models to assess complex clinical reasoning capabilities; Conduct deep-dive analysis on model performance from both technical (NLP) and clinical perspectives, identifying failure modes and providing actionable insights for model alignment; Extend and improve the company's existing algorithms and evaluation libraries; Work closely with colleagues and management to develop company assets in NLP/LLM and Conversational AI; Be ambitious to lead the changes in future Healthcare with innovations. [ Qualifications ] Currently pursuing a PhD or Master's degree in Computer Science (AI/ML), Bioinformatics, Medical Informatics, Computational Biology, or a related quantitative/medical field; Strong interest in the intersection of AI and Healthcare, with the ability to bridge technical model evaluation and clinical domain knowledge; Strong programming skills with Python and familiarity with deep learning frameworks such as PyTorch; Understanding of the LLM life cycle, including data preparation and reinforcement learning (RLHF/RLAIF); Proven track record of publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP, etc.) is a plus; Passion for applying AI to make a positive impact in the healthcare domain; Ability to develop practical solutions to challenging problems; Strong writing, communication, and cross-discipline collaboration skills